On approaches of investigating multi-layered medical images for implicit features

This paper reviews one of the contemporary problems in brain cancer diagnosis in its early stages, based on the hypothetical correlation of visual brain scans with the MGMT promoter methylation status. The analysis of the topics covers the methods of extracting features and evaluating their informative value, the challenges of working with the corresponding image samples, and models that might be useful in the given domain. The paper analyzes the possible technical solutions and discusses the efficiency of the domain-specific implementation. The experimental results are followed by the outcomes and suggestions for improvement.